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2020 – today
- 2024
[i9]Lin Yang, Shawn Xu, Andrew Sellergren, Timo Kohlberger, Yuchen Zhou, Ira Ktena, Atilla P. Kiraly, Faruk Ahmed, Farhad Hormozdiari, Tiam Jaroensri, Eric Wang, Ellery Wulczyn, Fayaz Jamil, Theo Guidroz, Chuck Lau, Siyuan Qiao, Yun Liu, Akshay Goel, Kendall Park, Arnav Agharwal, Nick George, Yang Wang, Ryutaro Tanno, David G. T. Barrett, Wei-Hung Weng, S. Sara Mahdavi, Khaled Saab, Tao Tu, Sreenivasa Raju Kalidindi, Mozziyar Etemadi, Jorge Cuadros, Gregory Sorensen, Yossi Matias, Katherine Chou, Greg Corrado, Joelle K. Barral, Shravya Shetty, David J. Fleet, S. M. Ali Eslami, Daniel Tse, Shruthi Prabhakara, Cory Y. McLean, Dave Steiner, Rory Pilgrim, Christopher Kelly, Shekoofeh Azizi, Daniel Golden:
Advancing Multimodal Medical Capabilities of Gemini. CoRR abs/2405.03162 (2024)- 2023
- [i8]Shawn Xu, Lin Yang, Christopher Kelly, Marcin Sieniek, Timo Kohlberger, Martin Ma, Wei-Hung Weng, Attila Kiraly, Sahar Kazemzadeh, Zakkai Melamed, Jungyeon Park, Patricia Strachan, Yun Liu, Chuck Lau, Preeti Singh, Christina Chen, Mozziyar Etemadi, Sreenivasa Raju Kalidindi, Yossi Matias, Katherine Chou, Gregory S. Corrado, Shravya Shetty, Daniel Tse, Shruthi Prabhakara, Daniel Golden, Rory Pilgrim, Krish Eswaran, Andrew Sellergren:
ELIXR: Towards a general purpose X-ray artificial intelligence system through alignment of large language models and radiology vision encoders. CoRR abs/2308.01317 (2023) - 2022
- [i7]Ryan G. Gomes, Bellington Vwalika, Chace Lee, Angelica Willis, Marcin Sieniek, Joan T. Price, Christina Chen, Margaret P. Kasaro, James A. Taylor, Elizabeth M. Stringer, Scott Mayer McKinney, Ntazana Sindano, George E. Dahl, William Goodnight III, Justin Gilmer, Benjamin H. Chi, Charles Lau, Terry Spitz, T. Saensuksopa, Kris Liu, Jonny Wong, Rory Pilgrim, Akib Uddin, Greg Corrado, Lily Peng, Katherine Chou, Daniel Tse, Jeffrey S. A. Stringer, Shravya Shetty:
AI system for fetal ultrasound in low-resource settings. CoRR abs/2203.10139 (2022) - [i6]Chace Lee, Angelica Willis, Christina Chen, Marcin Sieniek, Akib Uddin, Jonny Wong, Rory Pilgrim, Katherine Chou, Daniel Tse, Shravya Shetty, Ryan G. Gomes:
Enabling faster and more reliable sonographic assessment of gestational age through machine learning. CoRR abs/2203.11903 (2022) - 2021
- [j1]Ellery Wulczyn, David F. Steiner, Melissa Moran, Markus Plass
, Robert Reihs, Fraser Tan, Isabelle Flament-Auvigne, Trissia Brown, Peter Regitnig, Po-Hsuan Cameron Chen, Narayan Hegde, Apaar Sadhwani, Robert MacDonald, Benny Ayalew, Gregory S. Corrado, Lily H. Peng, Daniel Tse, Heimo Müller, Zhaoyang Xu, Yun Liu, Martin C. Stumpe, Kurt Zatloukal, Craig H. Mermel:
Interpretable survival prediction for colorectal cancer using deep learning. npj Digit. Medicine 4 (2021) - [i5]Sahar Kazemzadeh, Jin Yu, Shahar Jamshy, Rory Pilgrim, Zaid Nabulsi, Christina Chen, Neeral Beladia, Charles Lau, Scott Mayer McKinney, Thad Hughes, Atilla P. Kiraly, Sreenivasa Raju Kalidindi, Monde Muyoyeta, Jameson Malemela, Ting Shih, Gregory S. Corrado, Lily Peng, Katherine Chou, Po-Hsuan Cameron Chen, Yun Liu, Krish Eswaran, Daniel Tse, Shravya Shetty, Shruthi Prabhakara:
Deep learning for detecting pulmonary tuberculosis via chest radiography: an international study across 10 countries. CoRR abs/2105.07540 (2021) - 2020
- [i4]Zaid Nabulsi, Andrew Sellergren, Shahar Jamshy, Charles Lau, Eddie Santos, Atilla P. Kiraly, Wenxing Ye, Jie Yang, Sahar Kazemzadeh, Jin Yu, Raju Kalidindi, Mozziyar Etemadi, Florencia Garcia Vicente, David S. Melnick, Gregory S. Corrado, Lily Peng, Krish Eswaran, Daniel Tse, Neeral Beladia, Yun Liu, Po-Hsuan Cameron Chen, Shravya Shetty:
Deep Learning for Distinguishing Normal versus Abnormal Chest Radiographs and Generalization to Unseen Diseases. CoRR abs/2010.11375 (2020) - [i3]Ellery Wulczyn, David F. Steiner, Melissa Moran, Markus Plass, Robert Reihs, Fraser Tan, Isabelle Flament-Auvigne, Trissia Brown, Peter Regitnig, Po-Hsuan Cameron Chen, Narayan Hegde, Apaar Sadhwani, Robert MacDonald, Benny Ayalew, Gregory S. Corrado, Lily H. Peng, Daniel Tse, Heimo Müller, Zhaoyang Xu, Yun Liu, Martin C. Stumpe, Kurt Zatloukal, Craig H. Mermel:
Interpretable Survival Prediction for Colorectal Cancer using Deep Learning. CoRR abs/2011.08965 (2020)
2010 – 2019
- 2019
- [c18]Daniel Tse, Rui Li, Hanqi Zheng:
Risks Facing Smart City Information Security in Hangzhou. ICSEB 2019: 29-33 - [c17]Daniel Tse, Tianjia Wen, Ru Wu, Ge Yin, Xinlu Zhai:
Factors Affecting Customer Acceptance of Mobile Payment. IEEM 2019: 1089-1093 - 2018
- [c16]Daniel Tse, Hok Hin Yuen, Qiran He, Chaoya Wang, Jiheng Yu:
The security vulnerabilities of on-demand and sharing economy. ICEEG 2018: 47-53 - [c15]Daniel Tse, Xiaoting Pan, Yuan Zong, Jiaxi Liu, Qinyan Yang:
Assessing Information Security Risk Using Markov Chain. IEEM 2018: 808-813 - [c14]Daniel Tse, Kecong Huang, Bin Cai, Kaicheng Liang:
Robust Password-keeping System Using Block-chain Technology. IEEM 2018: 1221-1225 - [c13]Daniel Tse, Xuan Weng, Xin Wan, Lan Yao, Wensong Zhang:
Research on Information Security Perception of Sina Weibo Users Based on KISCAP Model. TrustCom/BigDataSE 2018: 1584-1588 - [c12]Daniel Tse, Chung-kin Chow, Ting-pong Ly, Chung-yan Tong, Kwok-wah Tam:
The Challenges of Big Data Governance in Healthcare. TrustCom/BigDataSE 2018: 1632-1636 - 2016
- [c11]Daniel Tse, Lu Wang, Yuxi Li:
Mobility Management for Enterprises in BYOD Deployment. Trustcom/BigDataSE/ISPA 2016: 638-645 - 2015
- [c10]Will Radford, Daniel Tse, Joel Nothman, Ben Hachey, George Wright, James R. Curran, Will Cannings, Timothy O'Keefe, Matthew Honnibal, David Vadas, Candice Loxley:
The Computable News project: Research in the Newsroom. WWW (Companion Volume) 2015: 903-908 - 2014
- [c9]Daniel Tse, Zihuan Li, Ka Fai Wong, Yuhui Tao, Wei Liu, Wai Hou Choi:
Two-factor Protection Scheme in Securing the Source Code of Android Applications. BCS International IT Conferenc 2014 - [c8]Daniel Tse, X. Liu, Christopher Nusaputra, B. Hu, Wang Y, M. W. Xing:
Strategies in Improving Android Security. PACIS 2014: 275 - 2013
- [c7]Jonathan K. Kummerfeld, Daniel Tse, James R. Curran, Dan Klein:
An Empirical Examination of Challenges in Chinese Parsing. ACL (2) 2013: 98-103 - [i2]Glen Pink, Andrew Naoum, Will Radford, Will Cannings, Joel Nothman, Daniel Tse, James R. Curran:
SYDNEY CMCRC at TAC 2013. TAC 2013 - 2012
- [c6]Daniel Tse, James R. Curran:
The Challenges of Parsing Chinese with Combinatory Categorial Grammar. HLT-NAACL 2012: 295-304 - [i1]Will Radford, Will Cannings, Joel Nothman, Daniel Tse, James R. Curran, Andrew Naoum, Glen Pink:
(Almost) Total Recall - SYDNEY CMCRC at TAC 2012. TAC 2012 - 2010
- [c5]Xiaohua Liu, Kuan Li, Bo Han, Ming Zhou, Long Jiang, Daniel Tse, Zhongyang Xiong:
Collective Semantic Role Labeling on Open News Corpus by Leveraging Redundancy. COLING (Posters) 2010: 725-729 - [c4]Daniel Tse, James R. Curran:
Chinese CCGbank: extracting CCG derivations from the Penn Chinese Treebank. COLING 2010: 1083-1091
2000 – 2009
- 2008
- [c3]Daniel Tse, James R. Curran:
Punctuation Normalisation for Cleaner Treebanks and Parsers. ALTA 2008: 151-159 - 2007
- [c2]Daniel Tse, James R. Curran:
Extending CCGbank with Quotes and Multi-modal CCG. ALTA 2007: 149-151 - 2004
- [c1]Daniel Tse:
Security in Modern Business: Security Assessment Model for Information Security Practices. PACIS 2004: 119
Coauthor Index
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